Another research direction that we integrated in MimicBot concerns hybrid deep learning models.
Such models integrate strong inductive biases to boost performance of deep learning solutions, examples of which can be found in several fields, from computer vision to healthcare  [1]}, [2]}, [3]}.
Note that the hybrid agent is implemented by overriding the decisions that would be made under the current policy. We expect that, when the hybrid decisions are implemented during training, a better performing can be obtained as the agent during training will have better performance and no distribution shift will be present during inference.
